AI will have the biggest impact on our lives for the foreseeable future. We must harness its potential and power Ethically with personal data privacy at the heart. The Practical AI Ethics tract will tackle these challenges and opportunities!

Every Artificial Intelligence has Human Knowledge in the Loop
Fabio Massimo Zanzotto, University of Rome Tor Vergata

Recognizing that every Artificial Intelligence (AI) system has humans in the loop, we propose Human-in-the-loop Artificial Intelligence (HitAI) as a fairer paradigm for building AI systems. In fact, HitAI will reward the legitimate owners of the knowledge used in these systems. Any decisions of AI systems generating revenues will repay the legitimate owners of the knowledge used for taking those decisions. This is a call for AI reserchers! As modern Merry Men, HitAIresearchers should fight for a fairer Robin Hood Artificial Intelligence that gives back what it steals.

How to build AI while honouring data subject rights?
Erlin Gulbenkoglu, Silo.AI

Privacy is reborn in the digital age with the demand of data subjects on their rights. In AI research and development more attention is directed to building interpretable, anonymous, secure and fair AI systems. We will discuss the challenges and best practices of model interpretability, building anonymous models, data minimisation and anonymisation based on Erlin’s experience at Silo.AI on privacy by design principle and fair usage of AI.

Ethical AI for Smart Cities
Natalia Rincón, CEO at CHAOS architects

CHAOS architects is an AI SaaS company that brings a sustainable and holistic solution to smart city and urban planning challenges. Through data analysis and crowd insights, CHAOS architects creates favourable conditions for businesses and citizen initiatives. CHAOS AI Dashboard and CHAOS’ user interface Happycity allow citizens to share ideas about their cities and co-create together with the community. The platform contains engagement-driven applications and third-party APIs that processes AI algorithms for better interaction, forecasting and decision making.

Session is moderated by: Reggie Rusan